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Jakramate Bootkrajang
Jakramate Bootkrajang
Department of Computer Science, Chiang Mai University
Verified email at cmu.ac.th - Homepage
Title
Cited by
Cited by
Year
Label-noise robust logistic regression and its applications
J Bootkrajang, A Kabán
Joint European conference on machine learning and knowledge discovery in …, 2012
1582012
Towards large scale continuous EDA: a random matrix theory perspective
A Kabán, J Bootkrajang, RJ Durrant
Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013
822013
Learning kernel logistic regression in the presence of class label noise
J Bootkrajang, A Kabán
Pattern Recognition 47 (11), 3641-3655, 2014
562014
Classification of mislabelled microarrays using robust sparse logistic regression
J Bootkrajang, A Kabán
Bioinformatics 29 (7), 870-877, 2013
512013
A generalised label noise model for classification in the presence of annotation errors
J Bootkrajang
Neurocomputing 192, 61-71, 2016
452016
Boosting in the presence of label noise
J Bootkrajang, A Kabán
arXiv preprint arXiv:1309.6818, 2013
412013
Multi-class classification in the presence of labelling errors.
J Bootkrajang, A Kabán
ESANN, 345-350, 2011
312011
Towards instance-dependent label noise-tolerant classification: a probabilistic approach
J Bootkrajang, J Chaijaruwanich
Pattern Analysis and Applications 23, 95-111, 2020
242020
Recognition of similar characters using gradient features of discriminative regions
P Inkeaw, J Bootkrajang, S Marukatat, T Gonçalves, J Chaijaruwanich
Expert Systems with Applications 134, 120-137, 2019
172019
Recognition-based character segmentation for multi-level writing style
P Inkeaw, J Bootkrajang, P Charoenkwan, S Marukatat, SY Ho, ...
International Journal on Document Analysis and Recognition (IJDAR) 21, 21-39, 2018
162018
Learning a label-noise robust logistic regression: Analysis and experiments
J Bootkrajang, A Kabán
Intelligent Data Engineering and Automated Learning–IDEAL 2013: 14th …, 2013
132013
Orchid classification using homogeneous ensemble of small deep convolutional neural network
W Sarachai, J Bootkrajang, J Chaijaruwanich, S Somhom
Machine Vision and Applications 33 (1), 17, 2022
112022
Evolutionary hypernetwork classifiers for protein-protein interaction sentence filtering
J Bootkrajang, S Kim, BT Zhang
Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009
82009
Towards an improved label noise proportion estimation in small data: a Bayesian approach
J Bootkrajang, J Chaijaruwanich
International Journal of Machine Learning and Cybernetics 13 (4), 851-867, 2022
72022
A system to estimate the amount and calories of food that elderly people in the hospital consume
P Ruenin, J Bootkrajang, J Chawachat
Proceedings of the 11th International Conference on Advances in Information …, 2020
72020
Bus arrival time estimation for public transportation system using LSTM
K Panyo, J Bootkrajang, P Inkeaw, J Chaijaruwanich
2020-5th International Conference on Information Technology (InCIT), 134-138, 2020
62020
Orchids classification using spatial transformer network with adaptive scaling
W Sarachai, J Bootkrajang, J Chaijaruwanich, S Somhom
Intelligent Data Engineering and Automated Learning–IDEAL 2019: 20th …, 2019
62019
Using Latent Dirichlet Allocation to investigate guest experience in Airbnb accommodation during COVID-19 pandemic in the United Kingdom
N Keawtoomla, A Pongwat, J Bootkrajang
2022 19th International joint conference on computer science and software …, 2022
52022
A generalised label noise model for classification.
J Bootkrajang
ESANN, 2015
52015
Supervised learning with random labelling errors
J Bootkrajang
University of Birmingham, 2013
32013
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